lru cache python
from functools import lru_cache
@lru_cache(maxsize = 100)
def myfunc(args):
// do somethinglru cache python
from functools import lru_cache
@lru_cache(maxsize = 100)
def myfunc(args):
// do somethingpython function cache
# Example use - Decorator code below -----------------------------
import time
@cache(ttl=timedelta(minutes=3), max_entries=300)
def add(a, b):
time.sleep(2)
return a + b
@cache()
def substract(a, b):
time.sleep(2)
return a - b
# Decorator code -----------------------------
from datetime import datetime, timedelta
def cache(**kwargs):
def decorator(function):
# static function variable for cache, lazy initialization
try: function.cache
except: function.cache = {}
def wrapper(*args):
# if nothing valid in cache, insert something
if not args in function.cache or datetime.now() > function.cache[args]['expiry']:
if 'max_entries' in kwargs:
max_entries = kwargs['max_entries']
if max_entries != None and len(function.cache) >= max_entries:
now = datetime.now()
function.cache = { key: function.cache[key] for key in function.cache.keys() if function.cache[key]['expiry'] > now }
# if nothing is expired that is deletable, delete the first
if len(function.cache) >= max_entries:
del function.cache[next(iter(function.cache))]
function.cache[args] = {'result': function(*args), 'expiry': datetime.max if 'ttl' not in kwargs else datetime.now() + kwargs['ttl']}
# answer from cache
return function.cache[args]['result']
return wrapper
return decoratorCopyright © 2021 Codeinu
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